Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2023.2296792
An efficient reconfigurable FIR filter design with coefficient optimization using a modified bacterial foraging optimization algorithm
C. Kalamani
; Department of Electronics and Communication Engineering, Tamilnadu College of Engineering, Coimbatore, India
*
S. Lekashri
; Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, India
A.N. Duraivel
; Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, India
T. Selvin Retna Raj
; Department of Electronics and Communication Engineering, DMI College of Engineering, Chennai, India
* Dopisni autor.
Sažetak
The digital filters play a significant role in the field of digital signal processing (DSP). The finite
impulse response (FIR) filter is an attractive choice because of the ease of design and good stability. The digital filters have a wide variety of applications such as signal processing, control
systems, telecommunication, etc. They are better than the analogue filters due to their performance. In recent times, software radios have achieved attention owing to requirements for
integrated and reconfigurable communication systems. Hence, reconfigurations have emerged
as a significant problem in the designs of FIRs. To match the frequencies of DSP applications,
higher-order FIRs are required. If length of filters rises, addition and multiplication operations
also increase. This paper proposes an efficient hardware design of RFIR that employs modified bacterial foraging optimizations (MBFOs) and common sub-expression eliminations (CSEs)
in its executions. MBFOs output restricted counts of filter coefficients with sums of signedpower-of-two (SPT) terms while maintaining the quality of filtered responses. On obtaining
coefficients, eliminations are executed by CSEs where hardware complexities are determined
in terms of adders. Model sim software validated RFIRs using the Verilog code. The proposed
design of RFIRs was compared with existing designs in terms of power usages, frequencies
and areas.
Ključne riječi
Reconfigurable finite impulse response (RFIR) filter; modified bacterial foraging optimization (MBFO) algorithm; common sub-expression (CSE) elimination algorithm; transposed direct form (TDF) structure
Hrčak ID:
322972
URI
Datum izdavanja:
1.1.2024.
Posjeta: 0 *